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Stimulating seedling growth in early stages of secondary forest succession: a modeling approach to guide tree liberation

Overview of attention for article published in Frontiers in Plant Science, July 2014
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Title
Stimulating seedling growth in early stages of secondary forest succession: a modeling approach to guide tree liberation
Published in
Frontiers in Plant Science, July 2014
DOI 10.3389/fpls.2014.00345
Pubmed ID
Authors

Marijke van Kuijk, Niels P. R. Anten, Roelof J. Oomen, Feike Schieving

Abstract

Excessive growth of non-woody plants and shrubs on degraded lands can strongly hamper tree growth and thus secondary forest succession. A common method to accelerate succession, called liberation, involves opening up the vegetation canopy around young target trees. This can increase growth of target trees by reducing competition for light with neighboring plants. However, liberation has not always had the desired effect, likely due to differences in light requirement between tree species. Here we present a 3D-model, which calculates photosynthetic rate of individual trees in a vegetation stand. It enables us to examine how stature, crown structure, and physiological traits of target trees and characteristics of the surrounding vegetation together determine effects of light on tree growth. The model was applied to a liberation experiment conducted with three pioneer species in a young secondary forest in Vietnam. Species responded differently to the treatment depending on their height, crown structure and their shade-tolerance level. Model simulations revealed practical thresholds over which the tree growth response is heavily influenced by the height and density of surrounding vegetation and gap radius. There were strong correlations between calculated photosynthetic rates and observed growth: the model was well able to predict growth of trees in young forests and the effects of liberation there upon. Thus, our model serves as a useful tool to analyze light competition between young trees and surrounding vegetation and may help assess the potential effect of tree liberation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 17%
Student > Master 8 15%
Student > Bachelor 6 12%
Professor > Associate Professor 5 10%
Researcher 4 8%
Other 8 15%
Unknown 12 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 44%
Environmental Science 11 21%
Biochemistry, Genetics and Molecular Biology 1 2%
Engineering 1 2%
Unknown 16 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 July 2014.
All research outputs
#20,233,066
of 22,758,963 outputs
Outputs from Frontiers in Plant Science
#15,959
of 20,059 outputs
Outputs of similar age
#192,675
of 228,762 outputs
Outputs of similar age from Frontiers in Plant Science
#115
of 163 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,059 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 228,762 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.